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All Journal Pixel : Jurnal Ilmiah Komputer Grafis SAMUDERA Teknika: Jurnal Sains dan Teknologi Majalah Ilmiah Warta Dharmawangsa International Journal of Management Science and Information Technology (IJMSIT) Jurnal Teknik Informatika dan Elektro (JURTIE) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer International Journal of Economics, Commerce, and Management International Journal of Economics and Management Sciences International Journal of Information Engineering and Science
Rayuwati Rayuwati
Universitas Gajah Putih
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Social Sciences

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Analisis Tabu List Length Pada Penjadwalan Perkuliahan Rayuwati, Rayuwati
SAMUDERA Vol 8, No 1 (2014)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Scheduling classes is a set of process management in the form of lectures in courses that are organized in a set period and a set of lecture rooms as well as a lecturer. The process of scheduling lectures crafted by meeting a number of constraint defined with the aim to produce a more optimal schedule of classes. Tabu search algorithm is an optimization method based on local search. The search process moves from one solution to the next solution, by choosing the best solution from the current solution neighborhood (current) is not classified as a solution forbidden (tabu). Fundamental memory structures in tabu search called tabu list. Tabu list storing attributes of partial move (transition solution) that has been applied to the previous iteration-iteration. Tabu search algorithm is influenced by several parameters, one of which is the size of the taboo list. The size of the taboo list alagoritma tabu search will affect the number of iterations and time required to produce a more optimal schedule of lectures. 
PENERAPAN DAN PERKEMBANGAN TEKNOLOGI INFORMASI DI BIDANG AKUNTANSI DAN MANAJEMEN Rayuwati Rayuwati
Jurnal Warta Dharmawangsa No 47 (2016)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/wdw.v0i47.227

Abstract

Implementasi data mining untuk menentukan strategi penjualan buku bekas dengan pola pembelian konsumen menggunakan metode apriori Ira Zulfa; Rayuwati Rayuwati; Khaidir Koko
Jurnal Teknika Vol 16, No 1 (2020): Edisi Juni 2020
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v16i1.7601

Abstract

Proses jual beli yang ada pada toko buku bekas memiliki kendala, yaitu penyimpanan data penjualan masih secara tertulis. Hal itu berakibat pada sulitnya menemukan buku yang diinginkan karena penyusunan buku belum rapi. Penggunaan teknik data mining diharapkan dapat membantu mempercepat proses pencarian buku serta memenuhi kebutuhan pelanggan, salah satunya metode apriori. Metode Apriori berguna dalam penyusunan itemset. Tahapanan algoritma dari metode apriori ini dimaksudkan untuk menghasilkan dataset serta frekuensi dari data transaksi pembelian produk pada bulan desember tahun 2019. Berdasarkan analisis data, hasil persentase yang didapatkan mendekati 100% dan tidak ada persentase nilainya yang kurang dari 15% sehingga dapat disimmpulkan metode Apriori berhasil mencapai hasil yang maksimal. The process of buying and selling in a used bookstore has a constraint, namely storing sales data is still in writing. That results in difficulty finding the desired book because the book's arrangement is not neat. The use of data mining techniques is expected to help speed up the book search process and meet customer needs, one of which is the apriori method. The apriori method is useful in preparing itemset. The staging algorithm of the apriori method is intended to produce a dataset and the frequency of product purchase transaction data in December 2019. Based on data analysis, the percentage obtained is close to 100%. There is no percentage value of less than 15%, so that the Apriori method can be successfully concluded to achieve maximum results.
PERANCANGAN SISTEM INFORMASI PENJADWALAN MATA KULIAH DENGAN METODE SDLC (CYSTEM DEVELOPMENT LIFE CYCLE) Wahyu Rizki; Rayuwati Rayuwati; Husna Gemasih
Jurnal Teknik Informatika dan Elektro Vol 4 No 1 (2022): Januari: Jurnal Teknik Informatika dan Elektro
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.441 KB) | DOI: 10.55542/jurtie.v4i1.113

Abstract

From the student aspect, it is necessary to pay attention to the presence or absence of other lectures in the courses taken by students, apart from being seen from the student aspect, it is also necessary to look at the lecturer's aspect, namely the possibility that the lecturer concerned also cannot teach properly because he is on duty or are studying at a further level or because they already have a teaching schedule in other majors, in order to produce good components in the context of preparing the schedule, the academic side must make some correlations between the components concerned so that there are no cases of schedule collisions or clashes. Based on the problems above, at least there are several methods that can be used to simplify the scheduling process, including the SDLC method. SDLC is indeed not the best method of solving various problems, but for cases like SDLC scheduling it is one of the best because this method quickly finds the minimum solution while still analyzing. In general, lecture scheduling using the SDLC method ideally will consider several things, namely the time of implementation, such as being carried out from Monday to Friday or Saturday, from 07.00 to 18.00, teaching staff such as the availability of suitable and willing teaching staff to be scheduled at any time and anywhere, the study room must also be adjusted to the number of students, the more students the need for room availability will also increase.
The Design of The Spk in Fulfilling the Production Target of Vegetable Availability in Lut Tawar Sub-District Uses The SAW Method Rayuwati Rayuwati; Yelli Novelia Putri
International Journal of Management Science and Information Technology Vol. 1 No. 1 (2021): January - June 2021
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (855.696 KB) | DOI: 10.35870/ijmsit.v1i1.230

Abstract

Efforts to meet the availability of vegetables in fulfilling vegetable intake, especially for people in Lutawar sub-district, Central Aceh district, community agriculture requires a technology development that supports the calculation of production at each harvest and can also determine the fulfillment of community food availability. In this case, the fulfillment of production targets for the availability of vegetables will be very effective if it is calculated using a decision support system application, using the Simple Additive weighting (SAW) method.The process of collecting and analyzing data is carried out systematically and logically using a survey, which is to collect as much data as possible about the vegetables found in Lut Tawar Subdistrict, which is a decision support for the quality of the research. Then analyze vegetables in meeting production targets and food availability. Application of the Simple Additive Weighting (SAW) method into a decision support system to create a decision support system for food availability that is assessed from its production, including 4 criteria used to make an assessment, C1: Productivity, C2: Harvest Area, C3: Area Planting, C4: Population, then decision making assigns weight to each criterion. The types of vegetables as an alternative in this study are as follows
Desain Perancangan Sistem Pakar Diagnosa Penyakit Saluran Pernapasan Berbasis Web Rayuwati Rayuwati; Amna Abdurrahman
Pixel :Jurnal Ilmiah Komputer Grafis Vol 14 No 2 (2021): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v14i2.205

Abstract

Acute Respiratory Infection (ARI) is a very serious health problem in Indonesia. According to the Basic Health Research (RISKESDAS) the highest ARI diseases were in the provinces of East Nusa Tenggara (41.7%), Papua (31.1%), Aceh (30.0%), West Nusa Tenggara (28.3%), and East Java (28.3%). In Riskesdas 2007, East Nusa Tenggara is also the province with the highest ARI. The time period for the spread of ARI in Indonesia according to Riskesdas in 2013 was 25.0%, not much different from that in 2007 which was 25.5%. People are sometimes reluctant to go to the doctor and tend to ignore this disease. For solutions to these problems, we need a system that can help the community in diagnosing respiratory disorders so that later the community can more easily consult to anticipate a worse impact. One system that can be used to assist diagnosis is an expert system. This system is not to replace the position of an expert, but to promote the knowledge and experience of an expert.
SISTEM PENDUKUNG KEPUTUSAN TUMBUH KEMBANG SISWA TK MENGGUNAKAN METODE BEYOND CENTER And CIRCLE TIME (BCCT) DAN MATRIK SWOT IFAS DAN EFAS Rayuwati Ayu Wati
EDUTIC Vol 7, No 1 (2020): NOVEMBER 2020
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.043 KB) | DOI: 10.21107/edutic.v7i1.7127

Abstract

ABSTRAK                 Didalam Pendidikan taman kanak-kank (TK) seorang guru harus mampu mengarahkan  anak didiknya dan memacunya untuk belajar mengenal berbagai pendekatan nilai diantaranya: agama, sosial, emosi, motorik, kognitif, bahasa, seni dan kemandirian untuk mengetahui tumbuh kembang anak usia 5-6 tahun . dengan Sistem Pendukung keputusan akan mempermudah guru Tk dalam mengambil keputusan tentang tumbuh kembang anak dengan menggunakan metode Beyond Centers and Circle Time (BCCT) dengan perhitungan Matrik Swot IFAS dan EFAS Kata Kunci : SPK, tumbuh kembang anak,  BCCT,Matrik Swot IFAS dan EFAS 
APLIKASI BENGKEL SERVICE VIA MOBILE BERBASIS ANDROID Resky Wahyudi; Rayuwati Rayuwati; Rahmadi Asri
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 2 No. 3 (2022): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v2i3.359

Abstract

Kendaraan merupakan salah satu elemen yang sangat penting bagi kebutuhan masyarakat untuk menunjang kehidupan mereka. Kendaraan perlu diservis secara berkala agar dapat digunakan secara efektif oleh mereka. Salah satu layanan bisnis yang bergerak pada bidang service kendaraan di Kota Takengon adalah Dika Motor. mungkin sebagian pengendara tidak bisa mendatangi toko bengkel tersebut di karnakan motor telah mati atau tidak bisa di nyalakan. dengan adanya aplikasi bengkel service online ini para pengendara dapat memesan service secara online, dan tidak perlu lagi untuk mendorong kendaraan mereka ke bengkel tetapi pihak bengkel yang akan mendatangin para pemesan bengkel service online. aplikasi ini juga sangat berguna untuk para pengendara yang sedang dalam perjalanan yang sedang mengalami problem saat berkendara dan sangat jauh dari bengkel yang di dekat posisi pengendara berada yang tidak memungkinkan mendorong motor mereka sampai ke bengkel terdekat. Pengendara hanya dengan memesan service secara online dan pihak bengkel yang akan mendatangi posisi pemesan bengkel berada. Hasil dari penelitian ini adalah Diharapkan dengan adanya sistem ini mempermudah pelanggan dalam memesan jasa service motor dimana saja dan kapan saja.
Data Search System for Thesis and Internship Reports in the Library of the Faculty of Engineering, Gajah Putih University Takengon Ira Zulfa; Eliyin Eliyin; Rayuwati Rayuwati; Riski Wanda
International Journal of Economics, Commerce, and Management Vol. 2 No. 1 (2025): January : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v2i1.403

Abstract

The purpose of this research is to develop a data search system for thesis and internship reports at the Faculty of Engineering Library of Gajah Putih University Takengon (UGP). This search engine will be created and used to help students and library employees access thesis and internship report information. Analysis of user needs, system design, creation of effective search algorithms, and evaluation of system performance are all topics that will be discussed in this thesis. Interviews with potential users, satisfaction surveys, and historical data collection of library usage are the methods used. It is expected that the results of this research will help library users find and retrieve thesis and internship report data and improve the accessibility and availability of academic information at the UGP Faculty of Engineering. When search engine technology is used, it is expected that the time required for Information will increase productivity, improve efficiency, and support the academic development of students at UGP.
Prediction Of Laptop Sales Using The K-Nearest Neighbor Method At The MVP Computer Mawar Store, In Takengon Adi Kurniawan; Rayuwati Rayuwati; Ira Zulfa
International Journal of Economics and Management Sciences Vol. 1 No. 2 (2024): May : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v1i2.33

Abstract

This research relates to predictions of laptop sales in computer shops in Central Aceh, with a focus on laptop brands Acer, Asus, HP and Lenovo. Over the last three years, sales of these laptops have reached 1,629 units, with a monthly average of between 108 and 150 units. Business owners today prefer brands with the highest percentage of sales, but this can lead to dead stock problems. Therefore, the author proposes using data mining techniques, especially the K-Nearest Neighbor (K-NN) method, to make recommendations for the number of products to be purchased by business owners based on past sales data. The K-NN method requires complete, structured and continuous sales data. It is important to choose an appropriate K value, and other factors such as weather, seasons, promotions, and special events also affect laptop sales. K-NN models may need to be combined with other data to improve prediction accuracy. It is hoped that this research will provide academic benefits in expanding knowledge about the use of the K-NN method in sales prediction, as well as practical benefits for business owners in planning their sales strategies. The research conclusions highlight the importance of good data collection, choosing the right K value, and considering external factors in the laptop sales prediction process.
Co-Authors Adi Kurniawan Amna Eliyin Eliyin Husna Gemasih Ira Zulfa Iryana Rezeki Khaidir Koko Putri, Yelli Novelia Rahmadi Asri Resky Wahyudi Richasanty Septima Riski Wanda Wahyu Rizki Yelli Novelia Putri